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Water Resources Management

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06-12-2016

The Enhanced Honey-Bee Mating Optimization Algorithm for Water Resources Optimization

Authors: Mohammad Solgi, Omid Bozorg-Haddad, Hugo A. Loáiciga

Published in: Water Resources Management | Issue 3/2017

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Abstract

Evolutionary and meta-heuristic algorithms are widely used to solve water resources optimization problems. In this context, the honey bee mating optimization (HBMO) algorithm, inspired by the mating ritual of honey bees, is a reliable and efficient algorithm. The HBMO algorithm is modified in this work leading to the Enhanced HBMO (EHBMO) algorithm. The EHBMO is then applied to solve several unconstrained/constrained mathematical benchmark functions and a multi-reservoir problem. The performance of the EHBMO is compared with those of the elitist genetic algorithm (EGA) and the HBMO algorithm. The results show that the EHBMO achieves a better solution in a smaller number of functional evaluations and with less variance of results about global optima in comparison with the EGA and the HBMO algorithm.

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Title: The Enhanced Honey-Bee Mating Optimization Algorithm for Water Resources Optimization
Authors: Mohammad Solgi
Omid Bozorg-Haddad
Hugo A. Loáiciga
Publication date: 06-12-2016
Publisher: Springer Netherlands
Published in: Water Resources Management / Issue 3/2017
Print ISSN: 0920-4741
Electronic ISSN: 1573-1650
DOI: https://doi.org/10.1007/s11269-016-1553-x

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